232 lines
6.5 KiB
Python
232 lines
6.5 KiB
Python
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import collections
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from functools import partial
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import string
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import numpy as np
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import pytest
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import pandas as pd
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from pandas import Series
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import pandas._testing as tm
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from pandas.core import ops
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import pandas.core.common as com
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from pandas.util.version import Version
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def test_get_callable_name():
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getname = com.get_callable_name
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def fn(x):
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return x
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lambda_ = lambda x: x
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part1 = partial(fn)
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part2 = partial(part1)
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class somecall:
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def __call__(self):
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# This shouldn't actually get called below; somecall.__init__
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# should.
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raise NotImplementedError
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assert getname(fn) == "fn"
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assert getname(lambda_)
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assert getname(part1) == "fn"
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assert getname(part2) == "fn"
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assert getname(somecall()) == "somecall"
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assert getname(1) is None
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def test_any_none():
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assert com.any_none(1, 2, 3, None)
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assert not com.any_none(1, 2, 3, 4)
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def test_all_not_none():
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assert com.all_not_none(1, 2, 3, 4)
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assert not com.all_not_none(1, 2, 3, None)
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assert not com.all_not_none(None, None, None, None)
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def test_random_state():
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import numpy.random as npr
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# Check with seed
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state = com.random_state(5)
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assert state.uniform() == npr.RandomState(5).uniform()
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# Check with random state object
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state2 = npr.RandomState(10)
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assert com.random_state(state2).uniform() == npr.RandomState(10).uniform()
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# check with no arg random state
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assert com.random_state() is np.random
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# check array-like
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# GH32503
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state_arr_like = npr.randint(0, 2**31, size=624, dtype="uint32")
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assert (
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com.random_state(state_arr_like).uniform()
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== npr.RandomState(state_arr_like).uniform()
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)
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# Check BitGenerators
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# GH32503
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assert (
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com.random_state(npr.MT19937(3)).uniform()
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== npr.RandomState(npr.MT19937(3)).uniform()
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)
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assert (
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com.random_state(npr.PCG64(11)).uniform()
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== npr.RandomState(npr.PCG64(11)).uniform()
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)
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# Error for floats or strings
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msg = (
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"random_state must be an integer, array-like, a BitGenerator, Generator, "
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"a numpy RandomState, or None"
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)
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with pytest.raises(ValueError, match=msg):
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com.random_state("test")
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with pytest.raises(ValueError, match=msg):
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com.random_state(5.5)
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@pytest.mark.parametrize(
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"left, right, expected",
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[
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(Series([1], name="x"), Series([2], name="x"), "x"),
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(Series([1], name="x"), Series([2], name="y"), None),
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(Series([1]), Series([2], name="x"), None),
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(Series([1], name="x"), Series([2]), None),
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(Series([1], name="x"), [2], "x"),
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([1], Series([2], name="y"), "y"),
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# matching NAs
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(Series([1], name=np.nan), pd.Index([], name=np.nan), np.nan),
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(Series([1], name=np.nan), pd.Index([], name=pd.NaT), None),
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(Series([1], name=pd.NA), pd.Index([], name=pd.NA), pd.NA),
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# tuple name GH#39757
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(
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Series([1], name=np.int64(1)),
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pd.Index([], name=(np.int64(1), np.int64(2))),
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None,
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),
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(
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Series([1], name=(np.int64(1), np.int64(2))),
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pd.Index([], name=(np.int64(1), np.int64(2))),
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(np.int64(1), np.int64(2)),
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),
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pytest.param(
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Series([1], name=(np.float64("nan"), np.int64(2))),
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pd.Index([], name=(np.float64("nan"), np.int64(2))),
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(np.float64("nan"), np.int64(2)),
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marks=pytest.mark.xfail(
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reason="Not checking for matching NAs inside tuples."
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),
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),
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],
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)
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def test_maybe_match_name(left, right, expected):
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res = ops.common._maybe_match_name(left, right)
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assert res is expected or res == expected
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def test_standardize_mapping():
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# No uninitialized defaultdicts
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msg = r"to_dict\(\) only accepts initialized defaultdicts"
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with pytest.raises(TypeError, match=msg):
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com.standardize_mapping(collections.defaultdict)
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# No non-mapping subtypes, instance
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msg = "unsupported type: <class 'list'>"
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with pytest.raises(TypeError, match=msg):
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com.standardize_mapping([])
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# No non-mapping subtypes, class
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with pytest.raises(TypeError, match=msg):
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com.standardize_mapping(list)
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fill = {"bad": "data"}
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assert com.standardize_mapping(fill) == dict
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# Convert instance to type
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assert com.standardize_mapping({}) == dict
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dd = collections.defaultdict(list)
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assert isinstance(com.standardize_mapping(dd), partial)
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def test_git_version():
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# GH 21295
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git_version = pd.__git_version__
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assert len(git_version) == 40
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assert all(c in string.hexdigits for c in git_version)
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def test_version_tag():
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version = Version(pd.__version__)
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try:
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version > Version("0.0.1")
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except TypeError:
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raise ValueError(
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"No git tags exist, please sync tags between upstream and your repo"
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)
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@pytest.mark.parametrize(
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"obj", [(obj,) for obj in pd.__dict__.values() if callable(obj)]
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)
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def test_serializable(obj):
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# GH 35611
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unpickled = tm.round_trip_pickle(obj)
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assert type(obj) == type(unpickled)
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class TestIsBoolIndexer:
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def test_non_bool_array_with_na(self):
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# in particular, this should not raise
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arr = np.array(["A", "B", np.nan], dtype=object)
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assert not com.is_bool_indexer(arr)
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def test_list_subclass(self):
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# GH#42433
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class MyList(list):
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pass
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val = MyList(["a"])
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assert not com.is_bool_indexer(val)
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val = MyList([True])
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assert com.is_bool_indexer(val)
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def test_frozenlist(self):
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# GH#42461
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data = {"col1": [1, 2], "col2": [3, 4]}
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df = pd.DataFrame(data=data)
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frozen = df.index.names[1:]
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assert not com.is_bool_indexer(frozen)
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result = df[frozen]
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expected = df[[]]
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tm.assert_frame_equal(result, expected)
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@pytest.mark.parametrize("with_exception", [True, False])
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def test_temp_setattr(with_exception):
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# GH#45954
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ser = Series(dtype=object)
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ser.name = "first"
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# Raise a ValueError in either case to satisfy pytest.raises
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match = "Inside exception raised" if with_exception else "Outside exception raised"
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with pytest.raises(ValueError, match=match):
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with com.temp_setattr(ser, "name", "second"):
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assert ser.name == "second"
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if with_exception:
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raise ValueError("Inside exception raised")
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raise ValueError("Outside exception raised")
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assert ser.name == "first"
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